Kardex has launched BinInductAI, an artificial intelligence and computer vision-driven system designed to streamline the AutoStore bin induction process by eliminating manual pre-checks and scanning, ultimately cutting on-site induction time by up to 30%.
The company said its innovations in BinInductAI are intended to enhance performance and efficiency across the system lifecycle – from implementation and orchestration to picking, maintenance, and inventory validation.
The Kardex Intuitive Picking Assistant (IPA) projects all relevant picking information onto the AutoStore port to enhance throughput, reduce errors, and improve inventory control, while the recently launched PortScale precision weighing system double-checks accuracy.
The net result is a reduction in manual effort and improved accuracy while unlocking greater value from the automated storage and retrieval system (ASRS), asserted Kardex.
One-touch BinInductAI can enhance quality and accuracy
The use of computer vision and AI-based image analysis simplifies the induction process, Kardex said.
Operators simply place the bin in the induction port, with no manual scanning or pre-checks required, it explained. Before induction, the system automatically performs a series of quality checks, verifying and inspecting bin presence, bin walls, robot pickup holes, and barcode readability.
Once the barcode is validated, BinInductAI confirms with the ASRS that the bin is not already registered to prevent duplicates before automatically sending the insertion commands and inducting the bin into the AutoStore grid.
Reducing risk during bin induction
BinInductAI standardizes verification for every bin, ensuring that quality checks are thorough and consistent, said Kardex.
Before a bin enters the system, BinInductAI automatically identifies damaged or out-of-spec bins, preventing potential problems from affecting the AutoStore grid and reducing the risk of downstream disruptions. By automating what has traditionally been a manual process, the solution reduces operator workload and minimizes the potential for human error during implementation, the company said.
The result is a more reliable and efficient induction process that helps improve system readiness and supports smoother AutoStore implementation, particularly during critical go-live and startup phases, claimed Kardex. Designed to handle high induction volumes, BinInductAI enables fast, repeatable, and scalable verification, making quality assurance easier to maintain across even the largest deployments.
“BinInductAI is the latest AutoStore innovation from Kardex, significantly reducing on-site induction and installation times, and implementation costs,” stated Fred Fox Jr., president of Kardex Solutions Americas. “Powered by AI and computer vision, BinInductAI applies intelligent automation to a traditionally manual process, helping customers work faster and achieve greater consistency during implementation.
“We are proud of our growing portfolio of solutions that enhance the AutoStore ecosystem,” he added. “These innovations are supported by a strong team of industry experts, who provide customized collaboration and support to our customers throughout the lifecycle of their AutoStore system. From initial planning and implementation through go-live and ongoing optimization, we work with customers at all stages of their AutoStore journey.”